Search ga_ls7e_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

51 results

Time (local)	Label
1999-11-15 09:13:59	ga_ls7e_ard_3-0-0_090086_1999-11-14_final
2000-01-18 09:10:41	ga_ls7e_ard_3-0-0_090078_2000-01-17_final
2000-08-13 10:46:40	ga_ls7e_ard_3-1-0_106075_2000-08-13_final
2000-12-19 10:44:48	ga_ls7e_ard_3-0-0_106072_2000-12-19_final
2003-09-22 10:01:43	ga_ls7e_ard_3-0-0_099078_2003-09-22_final
2003-11-09 09:59:36	ga_ls7e_ard_3-0-0_099072_2003-11-09_final
2004-01-01 10:19:46	ga_ls7e_ard_3-0-0_102075_2004-01-01_final
2004-01-04 10:52:40	ga_ls7e_ard_3-0-0_107080_2004-01-04_final
2005-03-09 09:21:45	ga_ls7e_ard_3-0-0_093067_2005-03-08_final
2005-06-16 09:58:46	ga_ls7e_ard_3-0-0_098083_2005-06-16_final
2005-08-03 11:36:01	ga_ls7e_ard_3-0-0_114079_2005-08-03_final
2005-11-06 09:13:53	ga_ls7e_ard_3-0-0_091079_2005-11-05_final
2006-01-28 11:19:27	ga_ls7e_ard_3-0-0_112067_2006-01-28_final
2006-04-04 09:36:16	ga_ls7e_ard_3-0-0_094087_2006-04-04_final
2006-06-26 10:03:51	ga_ls7e_ard_3-0-0_099079_2006-06-26_final
2006-10-16 11:41:06	ga_ls7e_ard_3-0-0_115076_2006-10-16_final
2006-12-03 10:03:37	ga_ls7e_ard_3-0-0_099078_2006-12-03_final
2007-01-10 09:25:03	ga_ls7e_ard_3-0-0_093074_2007-01-09_final
2007-01-13 09:54:22	ga_ls7e_ard_3-0-0_098070_2007-01-13_final
2007-03-26 10:45:19	ga_ls7e_ard_3-0-0_106073_2007-03-26_final
2007-05-29 09:07:45	ga_ls7e_ard_3-0-0_090077_2007-05-28_final
2007-06-29 10:03:46	ga_ls7e_ard_3-0-0_099078_2007-06-29_final
2007-07-23 10:49:56	ga_ls7e_ard_3-0-0_107070_2007-07-23_final
2008-03-21 10:41:08	ga_ls7e_ard_3-0-0_105079_2008-03-21_final
2008-04-27 10:56:02	ga_ls7e_ard_3-0-0_108070_2008-04-27_final
2009-07-08 11:16:03	ga_ls7e_ard_3-0-0_111073_2009-07-08_final
2010-03-17 10:01:40	ga_ls7e_ard_3-0-0_099068_2010-03-17_final
2010-04-08 09:31:51	ga_ls7e_ard_3-0-0_093086_2010-04-08_final
2010-09-02 09:55:37	ga_ls7e_ard_3-0-0_098068_2010-09-02_final
2011-03-13 11:38:59	ga_ls7e_ard_3-0-0_114076_2011-03-13_final
2011-06-26 11:29:11	ga_ls7e_ard_3-0-0_113067_2011-06-26_final
2012-04-05 10:21:10	ga_ls7e_ard_3-0-0_101081_2012-04-05_final
2012-04-19 10:33:56	ga_ls7e_ard_3-0-0_103082_2012-04-19_final
2012-06-30 09:40:58	ga_ls7e_ard_3-0-0_095072_2012-06-30_final
2013-01-29 10:05:56	ga_ls7e_ard_3-0-0_098084_2013-01-29_final
2013-02-27 09:28:11	ga_ls7e_ard_3-0-0_093067_2013-02-26_final
2014-12-06 11:18:42	ga_ls7e_ard_3-0-0_110075_2014-12-06_final
2016-05-04 10:12:18	ga_ls7e_ard_3-0-0_099069_2016-05-04_final
2016-09-27 10:02:42	ga_ls7e_ard_3-0-0_097075_2016-09-27_final
2017-03-13 10:11:30	ga_ls7e_ard_3-0-0_098083_2017-03-13_final
2017-07-11 09:24:57	ga_ls7e_ard_3-0-0_090089_2017-07-10_final
2018-10-21 11:22:45	ga_ls7e_ard_3-0-0_111073_2018-10-21_final
2019-02-16 09:05:31	ga_ls7e_ard_3-1-0_089078_2019-02-15_final
2019-05-13 10:01:09	ga_ls7e_ard_3-0-0_099070_2019-05-13_final
2019-07-07 10:05:42	ga_ls7e_ard_3-0-0_100071_2019-07-07_final
2019-07-29 11:07:49	ga_ls7e_ard_3-0-0_110074_2019-07-29_final
2020-05-31 11:23:45	ga_ls7e_ard_3-1-0_115075_2020-05-31_final
2020-06-05 10:00:44	ga_ls7e_ard_3-1-0_102069_2020-06-05_final
2020-11-18 09:19:28	ga_ls7e_ard_3-1-0_096085_2020-11-17_final
2021-10-13 08:41:48	ga_ls7e_ard_3-2-0_095073_2021-10-12_final
2022-03-18 08:53:24	ga_ls7e_ard_3-2-1_099078_2022-03-17_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years